Data Scientist – Systematic Strategies (New Grad) – Point72
Point72 is a global investment firm with $35B+ in assets under management founded by Steven Cohen — one of the most successful investors of the past four decades. Point72's Cubist Systematic Strategies division is a quantitative hedge fund applying statistical machine learning to develop systematic trading strategies across equities, futures, and options markets. Point72 Academy is the firm's acclaimed program developing next-generation investment talent, and the firm has trained hundreds of portfolio managers who have gone on to lead the world's top hedge funds. We are hiring New Grad Data Scientists to join Cubist's systematic research team building data-driven trading strategies.
Responsibilities
- Develop systematic equity trading signals from alternative data — social media sentiment, earnings call NLP, patent filing velocity, and supply chain logistics data
- Build statistical factor models decomposing equity returns into value, momentum, quality, and low-volatility factors for Cubist's factor investing strategies
- Apply deep learning methods — LSTMs, transformer models, attention mechanisms — to financial time-series forecasting problems with rigorous out-of-sample testing protocols
- Develop high-frequency data analysis pipelines processing tick-level order book data, trade flow, and market microstructure signals for short-term alpha models
- Conduct statistical analysis of event-driven strategies — earnings surprises, index rebalancing, M&A announcements, and executive leadership changes
- Build portfolio optimization frameworks balancing expected alpha, transaction costs, and factor risk constraints for Cubist's systematic portfolios
Requirements
- Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or Economics (top academic credentials required)
- Strong statistical and mathematical foundations — regression, hypothesis testing, time-series analysis, optimization
- Python proficiency for quantitative research and data analysis (pandas, numpy, statsmodels, sklearn)
- Machine learning experience — supervised/unsupervised learning, cross-validation, feature selection
- High intellectual rigor, skepticism about spurious signals, and systematic research discipline
Benefits
- Top-of-market compensation with base salary, significant bonus, and Point72 fund participation
- Point72 Academy mentorship and accelerated career development program
- Comprehensive medical, dental, and vision benefits
- 401(k) with Point72 contribution
- Stamford, CT headquarters — near NYC with excellent quality of life